k-Means Cluster Analysis

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The k-Means cluster analysis is one of the simplest and most common procedures for cluster analysis. Thus, the k-Means method is one of the most widely used methods. It is a partitioning procedure that is particularly suitable for large amounts of data.

The k-means method tries to distribute the data points among the k clusters in such a way that the sum of the distances from each point to the respective cluster centroid is minimised.

And here is the online k-Means Cluster Calculator on DATAtab:
  1. DATAtab
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Комментарии
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One of the best explanations I've found in Youtube about k-means!

lisandro-abulatif
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Love all your videos. Very effective, clear and reliable results. Many thanks.

aekphakiti
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You explain extremely well! Thank you!

DrAntoYoussef
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Very clear and interesting explanation. Thank you, dear.

destadereje
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Why did you decide to choose 2 instead of 3 clusters ?, to me the 3 clusters looked neater on graph.

SuperHutomo
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And is due to this that many groups then take the statistic and assume causation out of correlation as if it was a causation truth and not a result of the few variables being analysed.

pedrocoelho